STATA

Stata Fundamentals: Parts 1-3

January 9, 2023, 9:00am
This workshop is a three-part introductory series that will teach you Stata from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the Stata software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research.

Skyler Yumeng Chen

Data Science for Social Justice Fellow 2024
Haas School of Business

Skyler is a Ph.D. student in Behavioral Marketing at the Haas School of Business. Her research centers on consumer behavior and judgment and decision-making, with a keen interest in both experimental methods and data science techniques. She holds a B.A. in Economics and a B.S. in Data Science from New York University Shanghai.

Jonathan Pérez

Data Science for Social Justice Fellow 2024
Education

Jonathan Pérez is a 4th year PhD student in education with a designated emphasis critical theory. His research focuses on how students understand their radicalization with a focus particularly on how California's Ethnic Studies Curriculum can equip students to better make sense of how schools and society racialize them.

Outside of of UC Berkeley, Jonathan is an adjunct at San Francisco State University and works in curriculum design for The School of The New York Times.

Elizabeth Fajardo

Data Science for Social Justice Fellow 2024
Graduate Group in Ancient History and Mediterranean Archaeology

I am a PhD Student in Ancient History and Mediterranean Archaeology. I study the Roman Imperial Economy, particularly the development of human capital during the Imperial Period and the Roman monetary system.

My main research interests include political economy, labor, and economic metaphor in Ancient Rome, particularly highlighting the intersections of economic production and power.

Renee Starowicz, Ph.D.

Data Services Manager, Senior Instructor, Senior Consultant, Co-Executive Director of Berkeley FSRDC
D-Lab
Berkeley Graduate School of Education

Renee Starowicz, Ph.D., has been affiliated with the D-Lab since January 2020 when she joined the NSF IUSE, Undergraduate Data Science at Scale project. Renee’s research interests include Critical Disability Studies, Trauma-skilled inclusive practices and Multimodal Communication Access. At the DLab, Renee is an instructor for STATA FUNdamentals and Introduction to Qualtrics.

Stata for Research Transparency and Reproducibility Training (RT2)

June 7, 2024, 3:15pm
This is a custom Stata workshop for the 2024 Research Transparency and Reproducibility Training (RT2).

Tonya D. Lindsey, Ph.D.

Data Science Fellow
Institute of Governmental Studies (IGS)

Tonya D. Lindsey is a visiting scholar at the Institute of Governmental Studies and the project director of CRB Nexus: Where Policy Meets Research, an initiative of the California Research Bureau (CRB) at the California State Library. As project director of CRB Nexus, she is developing a community of practice space for California’s policy staff and public scholars. As a CRB senior researcher she uses her expertise in research methods to analyze a wide variety of policy questions at the request of legislators, the governor’s office, and their staff. She received her PhD in sociology...

Using Artificial Intelligence to Help Write Code

February 28, 2023
Daniel Tan
by Daniel Tan. ChatGPT is a natural language processing model that has applications in a wide variety of research settings. It is a chatbot-style tool that was created by OpenAI using a deep learning model that allows it to generate human-like responses to a wide variety of questions and prompts spanning a multitude of topics. Because it has been trained on a large body of text, ChatGPT is a particularly useful tool for programming. This post explores ways to use ChatGPT to help write code in Stata, a statistical software package that is widely used in academic and policy research.

Hikari Murayama

Senior Data Science Fellow, Senior Instructor
Digital Health Social Justice
Energy and Resources Group

Hikari is a graduate student in the Energy and Resource Group. Her research interests involve utilizing remote sensing and geospatial analysis to address pressing problems at the intersection of humans and climate. She recently served as a Data Science for Social Good Fellow at the University of Washington eScience Institute in the summer of 2020. She is experienced and happy to help in the areas of geospatial analysis, remote sensing, and other statistical analyses and methods. Hikari is devoted to helping community members realize their potential to conduct...

Suraj Nair

Data Science Fellow
School of Information

I am a PhD Student at the School of Information. My research interests lie at the intersection of development economics and machine learning, with a focus on the use of large scale digital data and new computational tools to study pressing issues in global development.